@proceedings {2018,
	title = {The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning},
	year = {2020},
	type = {Working paper},
	address = {Wailea, HI},
	abstract = {<p>Machine learning (ML) constitute an algorithmic phenomenon with some distinctive characteristics (e.g., being trained, probabilistic). Our understanding of such systems is limited when it comes to how these unique characteristics play out in organizational settings and what challenges different groups of users will face in working with them. We explore how people developing or using an ML system come to understand its capabilities and challenges. We draw on the social construction of technology tradition to frame our analysis of interviews and discussion board posts involving designers and users of a ML-supported citizen-science crowdsourcing project named Gravity Spy. Our findings reveal some of the challenges facing different relevant social groups. We find that groups with less interaction with the technology have their understanding. We find that the type of understandings achieved by groups having less interaction with the technology is shaped by outside influences rather than the specifics of the system and its role in the project. Notable, some users mistake human input for ML input. This initial understanding of how different participants understand and engage with ML point to challenges that need to be overcome to help participants deal with the opaque position ML often hold in a work system.</p>},
	doi = {10.24251/HICSS.2020.719 },
	attachments = {https://waim.network/sites/crowston.syr.edu/files/Social_Construction_of_ML_in_GS_HICCS2020.pdf},
	author = {Mahboobeh Harandi and Kevin Crowston and Corey Jackson and Carsten {\O}sterlund}
}
@article {2019,
	title = {Getting ready for a post-work future},
	journal = {Foresight and STI Governance},
	volume = {13},
	year = {2019},
	month = {Jun-03-2021},
	pages = {19 - 30},
	doi = {10.17323/2500-2597.2019.1.19.30},
	author = {Hines, Andy}
}
@article {2019,
	title = {Global commission on the future of work},
	year = {2019},
	institution = {International Labour Organization },
	keywords = {government reports},
	url = {https://www.ilo.org/global/topics/future-of-work/WCMS_569528/lang--en/index.htm},
	author = {Cyril  Ramaphosa and Stefan Lofven}
}
@article {2019,
	title = {Google{\textquoteright}s head of translation on fighting bias in language and why AI loves religious texts},
	year = {2019},
	url = {https://www.theverge.com/2019/1/30/18195909/google-translate-ai-machine-learning-bias-religion-macduff-hughes-interview},
	author = {James Vincent}
}
@proceedings {2019,
	title = {The governance of artificial intelligence},
	year = {2019},
	month = {05/2019},
	keywords = {AI use cases},
	url = {https://www.bankofengland.co.uk/-/media/boe/files/speech/2019/managing-machines-the-governance-of-artificial-intelligence-speech-by-james-proudman},
	author = {James Proudman}
}
@article {2019,
	title = {Governance of artificial intelligence and personal health information},
	journal = {Digital Policy, Regulation and Governance},
	volume = {21},
	year = {2019},
	month = {Jan-05-2020},
	pages = {280 - 290},
	issn = {2398-5038},
	doi = {10.1108/DPRG-08-2018-0048},
	author = {Winter, Jenifer Sunrise and Davidson, Elizabeth}
}
@article {2018,
	title = {Game changing value from Artificial Intelligence: eight strategies},
	journal = {Strategy \& Leadership},
	volume = {46},
	year = {2018},
	month = {Mar-01-2019},
	pages = {16 - 22},
	issn = {1087-8572},
	doi = {10.1108/SL-11-2017-0106},
	author = {Plastino, Eduardo and Purdy, Mark}
}
@article {2018,
	title = {G.M says its driverless car could be in fleets by next year},
	year = {2018},
	month = {01/2018},
	keywords = {autonomous vehicles},
	url = {https://www.nytimes.com/2018/01/12/business/gm-driverless-car.html},
	author = {Neal E. Boudette}
}
@article {2018,
	title = {Google and others are building AI systems that doubt themselves},
	year = {2018},
	url = {https://www.technologyreview.com/s/609762/google-and-others-are-building-ai-systems-that-doubt-themselves/},
	author = {Will Knight}
}
@article {2018,
	title = {Google glass is back with AI},
	year = {2018},
	month = {07/2018},
	abstract = {An app for Glass aimed at factory workers can understand spoken language and respond verbally.},
	url = {https://www.wired.com/story/google-glass-is-backnow-with-artificial-intelligence/},
	author = {Tom Simonite}
}
@article {2018,
	title = {Google Researchers Are Learning How Machines Learn},
	year = {2018},
	url = {https://www.nytimes.com/2018/03/06/technology/google-artificial-intelligence.html},
	author = {Cade Metz}
}
@article {2017,
	title = {Google DeepMind and healthcare in an age of algorithms},
	journal = {Health and Technology},
	volume = {7},
	year = {2017},
	month = {Jan-12-2017},
	pages = {351 - 367},
	issn = {2190-7188},
	doi = {10.1007/s12553-017-0179-1},
	author = {Powles, Julia and Hodson, Hal}
}
@article {657,
	title = {Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science},
	journal = {Classical and Quantum Gravity},
	volume = {34},
	year = {2017},
	pages = {064003},
	type = {Journal Article},
	doi = {10.1088/1361-6382/aa5cea},
	author = {Michael Zevin and Scott Coughlin and Sara Bahaadini and Emre Besler and Neda Rohani and Sarah Allen and Miriam Cabero and Kevin Crowston and Aggelos Katsaggelos and Shane Larson and Tae Kyoung Lee and Chris Lintott and Tyson Littenberg and Andrew Lundgren and Carsten Oesterlund and Joshua Smith and Laura Trouille and Vicky Kalogera}
}
@booklet {RN30629,
	title = {The growing importance of social skills in the labor market},
	year = {2015},
	publisher = {National Bureau of Economic Research},
	type = {Report},
	author = {Deming, David J}
}
@article {2014,
	title = {The global decline of the labor share},
	journal = {The Quarterly Journal of Economics},
	volume = {129},
	year = {2014},
	month = {Jan-02-2014},
	pages = {61 - 103},
	issn = {0033-5533},
	doi = {10.1093/qje/qjt032},
	author = {Karabarbounis, L. and Neiman, B.}
}
@article {2013,
	title = {The great reversal in the demand for skill and cognitive tasks},
	year = {2013},
	institution = {National Bureau of Economic Research},
	address = {Cambridge, MA},
	doi = {10.3386/w18901},
	author = {Beaudry, Paul and Green, David and Sand, Benjamin}
}
